Overview
HiveMQ's MQTT Broker is a The Data Explorer for MQTT correctly shows data in its data browsing tree, plain data form traditional MQTT Brokers, and it also correctly parses and format the data from SparkplugB topics.
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As your applications grows or
MQTT Tools, an integrated function in FrameworX, serves as a robust bridge for configuring and managing the transmission of MQTT data in various ways. It allows you to easily perform data mining and monitoring from various data sources.
- Communication drivers for flat MQTT, SparkplugB, Azure IoT Hub.
- No-mapping, no configuration, connectivity using our exclusive feature of TagProviders
- Store-And-Forward, allowing reliable data colection and integration with Historian systems.
- Close technical work with HiveMQ, for large enterprise solutions.
- Methods to allow easy Json to Tag Templates conversion of payloads.
- Runs on Windows, Linux, Cisco Routers, Universal Robots, and any platform supported by NET 8.0.
- Client browsing Data Explorer Tools
Tatsoft’s FrameworX combined with HiveMQ is built to address some of the key technical challenges organizations face when building new Industrial Internet of Things applications, including:
- Building reliable and scalable business critical IIoT applications
- Fast data delivery to meet the expectations of end users for responsive IIoT products
- Reduced operational costs through the efficient utilization of hardware, network, and cloud resources
- Securely Integrating IIoT data into existing enterprise systems
- Connecting to Industrial Devices and Modeling your Data
Common Uses
The Data Explorer tools are typically used in the following phases of project development:
- Data Discovery: The tools provide a user-friendly and easy way to verify the consistency of the data you intend to work with.
- Templates and Tags Definition: Data templates, local tags, and tag providers can be easily created in the project configuration using the data displayed in the Data Browser window.
- Testing and Validation: When used in conjunction with connections already defined in the project configuration, these tools can be used to validate and monitor the results of data acquisition.
With MQTT, the Data Browser will act as a client application to the broker, subscribing to the data visible on the user interface.
Follow the link MQTT Tools for further information.
Pre-Installation Requirements
To install HiveMQ on Windows, Linux or MacOS you need to meet the following requirements:
- At least 4GB of RAM. (information available at the HiveMQ website).
- 4 or more CPUs. (information available at the HiveMQ website).
- 100GB or more free disk space (information available at the HiveMQ website).
- Java Runtime Environment 11 or newer, see it available in HERE.
Installation Procedure
1. Install our software platform with the Complete option, or enable HiveMQ installation on Custom.
2. Alternatively, you can download HIveMQ zip file directly from here, and unzip.
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